Analysis of Carotid Ultrasound Screening of High-Risk Groups of Stroke Based on Big Data Technology

J Healthc Eng. 2022 Jan 25;2022:6363691. doi: 10.1155/2022/6363691. eCollection 2022.ABSTRACTIn order to understand detection of carotid atherosclerosis in the screening of high-risk stroke populations in a certain area of China, we have analyzed related risk factors of CAS. In accordance with the requirements of the "2015 Technical Plan for the Screening and Intervention Projects for High-Risk Stroke Populations," a cluster sampling method was used to select 4532 (number of screened persons from 2015 to 2021) permanent residents over 41 years old () in Shaheying Town, Liulin Town, Chenggu County, Hanzhong City, Shaanxi Province, and Da'an Town, Ningqiang County, and nearby communities are selected as the screening targets. We screened out high-risk groups of stroke based on big data technology and understood the detection of CAS. According to the screening results of big data technology, it was divided into two groups: CAS group and non-CAS group. The basic information, medical history, personal lifestyle, physical examination, and laboratory examination results of the two groups were classified and counted. The measurement data such as age and waist circumference of the two groups were tested by two independent samples, and the count data of gender, stroke history, hypertension, and other data were tested by the χ 2 test of the four-table data, and the logistic regression model was used to analyze the risk factors for CAS of population at high risk of stroke. The results p...
Source: Atherosclerosis - Category: Cardiology Authors: Source Type: research